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Standard error of regression excel
Standard error of regression excel




Using the equation, y = Salt concentration = 2.677 + 17.547*(% paved roadway area), you could predict the salt concentration based on the percent of paved roadway. Use the Equation for Prediction and Estimation In other words, there is a relation between the two variables. Since the p value ( 0 < 0.05), we "Reject the Null Hypothesis" that the two variables are unrelated. 951 means that 95.1% of the variation in salt concentration can be explained by roadway area. Some statistics references recommend using the Adjusted R Square value.

  • QI Macros will perform the regression analysis calculations for you:Īnalysis: If R Square is greater than 0.80, as it is in this case, there is a good fit to the data.
  • Click and drag over your data to select it and then click on QI Macros, Statistical Tools and Regression:.
  • Enter your data into Excel with the independent variable in the left column and the dependent variable in the right column.
  • standard error of regression excel standard error of regression excel

    This sample data is found in QI Macros Test Data > statistical.xlsx > Regression Data: What if we wanted to know if the salt concentration in runoff (dependent variable) is related to the percent of paved roadway area (independent variable). Regression arrives at an equation to predict performance based on each of the inputs.

    standard error of regression excel

    The purpose of regression analysis is to evaluate the effects of one or more independent variables on a single dependent variable. Statistical Analysis Excel » Regression Analysis Regression Analysis in Excel You Don't Have to be a Statistician to Run Regression Analysis






    Standard error of regression excel